Database and GPU Performance Engineer | Data Analytics & Acceleration Specialist
About
I am a results-driven engineer with over a decade of experience in software engineering and academic research. My specialization lies in database optimization and GPU-accelerated computing. I am passionate about maximizing performance and efficiency at the intersection of data analytics and high-performance computing.
Core Expertise
- Expertise in query optimization, indexing strategies, and architectural design to enhance database system throughput and responsiveness.
- Proficiency in leveraging CUDA and GPU-accelerated libraries (e.g., PyTorch, CuDF) to achieve significant speedups in data-intensive workloads.
- Specialization in PyTorch sparse tensor support for efficient handling of large-scale, sparse datasets.
- Strong background in designing and implementing high-performance algorithms for complex data processing and analysis.
Open-Source Contributions
- Apache Arrow - A development platform for in-memory analytics.
- Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
- CuDF - GPU DataFrame Library
- Blazingsql - BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
💬 Ask me about: I am always eager to connect with like-minded professionals and explore opportunities to push the boundaries of what’s possible with data and high-performance computing. Feel free to reach out for collaborations or discussions on related topics.
📫 How to reach me: linkedin, twitter, more about me